Dr. Bansilal Bairwa Assistant Professor

Specialization

Electric Vehicles, Machine Learning

Areas Of Interest

Artificial Intelligence, Machine Learning, Battery Modeling, Electric Vehicles, Energy storage

Programs Organised

• SDP on Solar, Battery Management and MEMS Technology for the 7th Semester (A, B, and C Section)” from 8th November 2022 to 11th November2021, Coordinator: Dr Bansilal Bairwa and Prof. Ashwini Kumari P
• SDP on Cyber Security and Python for the 5th Semester (A, B, and C Section)” from 23rd November2022 to 26th November2021, Coordinator: Dr Bansilal Bairwa and Prof. Ashwini Kumari P
• SDP on Machine Learning Using Python Programming for the 2nd Semester (A, B, and C Section)” from 05th July 2022 to 08th July 2022, Coordinator: Dr Bansilal Bairwa and Prof. Ashwini Kumari P
• SDP on Power Electronics Converter for Industrial Application for the 6th Semester (A, B, and C Section)” from 18th April 2022 to 21st April 2022, Coordinator: Dr Bansilal Bairwa and Prof. Ashwini Kumari P
• ICRTEEC-Editor, 2nd International Conference on Recent Trends in Electrical, Electronics and Computer Engineering for Environmental and Sustainable Development 22-23rd July, 2021 https://www1.reva.edu.in/icrteec-2021/
• ICORE- Editorial Committee Member, iCORE-2021, International Congress on Renewable Energy Sponsored by Solar Energy Society of INDIA (SESI) 27 -28th November – 2021 https://www1.reva.edu.in/icore-2021/
• IEEE TEECCON -Local Organizing Committee Member, Trends in Electrical, Electronics, and Computer Engineering Conference, 26-27th May 2022 - School of Electrical and Electronics Engineering, REVA UNIVERSITY, Bangalore https://www1.reva.edu.in/teeccon-2021/

Qualification

B Tech, M Tech, Ph D

Teaching Experience

4 Years

Awards & Recognition

• 2019: Dr. Bansilal Bairwa received the Best Poster Award at the Industry Academia Conclave held at Malaviya National Institute of Technology, Jaipur, for his research on "Electrical Equivalent Circuit Modeling of Lithium-ion Battery for Electric Vehicle."
• 2022: He was honored with the Best Paper Award at the IEEE International Conference on Smart Technologies in Computing, Electrical, and Electronics (ICSTCEE) hosted by REVA University, Bengaluru, for his work on "Electrical Equivalent Circuit Modeling of Lithium-Ion Battery."
• 2023: Dr. Bairwa was awarded the Best Paper Award at the IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE-2023) organized by Ballari Institute of Technology and Management, Karnataka, for his research titled "Modeling and Simulation of Electric Vehicle Powertrain for Dynamic Performance Evaluation."
• 2024: Dr. Bansilal Bairwa delivered a session on "Lithium-ion Battery Modeling for Electric Vehicle Applications" at the International Symposium and Workshop organized by the Modern Education Society’s College of Engineering (MESCOE), Pune, Maharashtra. His expertise was recognized at an international level.
• 2023: Dr. Bairwa was invited as a Resource Person to present on "Lithium-ion Battery Modeling for Electric Vehicle Applications" at the AICTE ATAL FDP hosted by MS Ramaiah Institute of Technology, Bengaluru.
• 2023: He also participated in the International Symposium and Workshop at the Modern Education Society’s College of Engineering (MESCOE), Pune, Maharashtra, delivering a session on "Lithium-ion Battery Modeling for Electric Vehicle Applications."
• 2023: Dr. Bairwa conducted a session on "Lithium-ion Battery Modeling for Electric Vehicle Applications" at a Seminar organized by the School of Mechanical Engineering, REVA University, Bengaluru.
• 2022: Dr. Bairwa shared his knowledge on "Lithium-ion Battery Modeling for Electric Vehicle Applications" during a Webinar at BMS College of Engineering, Bengaluru.
• 2022: Dr. Bairwa was invited as a Resource Person to present a webinar on "Lithium-ion Battery Modeling for Electric Vehicle Applications" at Mewar University, Chittorgarh, Rajasthan.

Conferences FDP's

Seminars

Workshops / FDP's

Training programs

Vidwan ID/Profile URL

Scopus ID/Google Scholar ID

Funded Project (amount sanctioned)

PhDs Guided/PhDs Guiding

01 On-going

Publications In Refereed Journals

Publications In Conferences

Patents Copyrights

10

UG / PG Projects

PG Projects Guided: 03

UG Projects Guided: 09